Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM
The proposed methodology creates a convex hull region by performing constrained Delaunay triangulation with depth interpolation using line features.
Code: https://github.com/url-kaist/Struct-MDC
Paper: https://arxiv.org/abs/2204.13877v1
Dataset: https://paperswithcode.com/dataset/plad-1
@ArtificialIntelligencedl
The proposed methodology creates a convex hull region by performing constrained Delaunay triangulation with depth interpolation using line features.
Code: https://github.com/url-kaist/Struct-MDC
Paper: https://arxiv.org/abs/2204.13877v1
Dataset: https://paperswithcode.com/dataset/plad-1
@ArtificialIntelligencedl
🧷 Quality-Aware Decoding
Code: https://github.com/deep-spin/qaware-decode
Paper: https://arxiv.org/abs/2205.00978v1
@ArtificialIntelligencedl
Code: https://github.com/deep-spin/qaware-decode
Paper: https://arxiv.org/abs/2205.00978v1
@ArtificialIntelligencedl
🥰3👍2👏1
Forwarded from Machinelearning
🔝 OPT (Open Pre-trained Transformers) is a family of NLP models trained on billions of tokens of text obtained from the internet.
175B GPT-3
Github: https://github.com/facebookresearch/metaseq
Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md
Paper: https://arxiv.org/abs/2205.01068v2
Dataset: https://paperswithcode.com/dataset/superglue
@ai_machinelearning_big_data
175B GPT-3
Github: https://github.com/facebookresearch/metaseq
Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md
Paper: https://arxiv.org/abs/2205.01068v2
Dataset: https://paperswithcode.com/dataset/superglue
@ai_machinelearning_big_data
❤5👍1🔥1
📹 Deep Video Harmonization with Color Mapping Consistency
Code: https://github.com/deep-spin/qaware-decode
Paper: https://arxiv.org/abs/2205.00687v1
Dataset: https://github.com/bcmi/Video-Harmonization-Dataset-HYouTube.
@ArtificialIntelligencedl
Code: https://github.com/deep-spin/qaware-decode
Paper: https://arxiv.org/abs/2205.00687v1
Dataset: https://github.com/bcmi/Video-Harmonization-Dataset-HYouTube.
@ArtificialIntelligencedl
👍5
🔎 Cross-view Transformers for real-time Map-view Semantic Segmentation
Code: https://github.com/bradyz/cross_view_transformers
Paper: https://arxiv.org/abs/2205.02833v1
Dataset: https://paperswithcode.com/dataset/nuscenes
@ArtificialIntelligencedl
Code: https://github.com/bradyz/cross_view_transformers
Paper: https://arxiv.org/abs/2205.02833v1
Dataset: https://paperswithcode.com/dataset/nuscenes
@ArtificialIntelligencedl
❤5👍1
☑️ TorchSSL
A Pytorch-based toolbox for semi-supervised learning.
Code: https://github.com/torchssl/torchssl
Paper: https://arxiv.org/abs/2205.07246v1
Logs and weights: https://onedrive.live.com/?authkey=%21AJ%2DwKMa%2DENcbk1s&id=AF426F3217F6565A%213488&cid=AF426F3217F6565A
A Pytorch-based toolbox for semi-supervised learning.
Code: https://github.com/torchssl/torchssl
Paper: https://arxiv.org/abs/2205.07246v1
Logs and weights: https://onedrive.live.com/?authkey=%21AJ%2DwKMa%2DENcbk1s&id=AF426F3217F6565A%213488&cid=AF426F3217F6565A
👍5👎1
Python Data Driven Dynamics
A python package to discover SDE equation from time-series data.
Code: https://github.com/tee-lab/pydaddy
Paper: https://arxiv.org/abs/2205.02645v1
@ArtificialIntelligencedl
A python package to discover SDE equation from time-series data.
Code: https://github.com/tee-lab/pydaddy
Paper: https://arxiv.org/abs/2205.02645v1
@ArtificialIntelligencedl
👍7
🤖 Neural 3D Scene Reconstruction with the Manhattan-world Assumption
Code: https://github.com/zju3dv/manhattan_sdf
Paper: https://arxiv.org/abs/2205.02836
Project Page: https://zju3dv.github.io/manhattan_sdf
Video: https://www.youtube.com/watch?v=oEE7mK0YQtc
@ArtificialIntelligencedl
Code: https://github.com/zju3dv/manhattan_sdf
Paper: https://arxiv.org/abs/2205.02836
Project Page: https://zju3dv.github.io/manhattan_sdf
Video: https://www.youtube.com/watch?v=oEE7mK0YQtc
@ArtificialIntelligencedl
👍2❤1
⚡️ EmotionFlow: Capture the Dialogue Level Emotion Transitions
Code: https://github.com/fpcsong/emotionflow
Paper: https://arxiv.org/abs/2204.10298v1
Dataset: https://paperswithcode.com/dataset/meld
@ArtificialIntelligencedl
Code: https://github.com/fpcsong/emotionflow
Paper: https://arxiv.org/abs/2204.10298v1
Dataset: https://paperswithcode.com/dataset/meld
@ArtificialIntelligencedl
👍5
Activating More Pixels in Image Super-Resolution Transformer
A python package to discover SDE equation from time-series data.
Code: https://github.com/chxy95/hat
Paper: https://arxiv.org/abs/2205.04437v1
Dataset: https://paperswithcode.com/dataset/bsd
@ArtificialIntelligencedl
A python package to discover SDE equation from time-series data.
Code: https://github.com/chxy95/hat
Paper: https://arxiv.org/abs/2205.04437v1
Dataset: https://paperswithcode.com/dataset/bsd
@ArtificialIntelligencedl
👍2
Хочешь знать, как устроена DALL-E 2?
На что способен GPT-3?
Какие нейросети используются для поиска новых лекарств?
Тогда тебе на канал DLStories!
На канале вы найдете:
- разборы новых архитектур;
- новости из мира AI и Deep Learning;
- ссылки на обучающие курсы, подкасты и статьи;
Также у автора канала есть свой подкаст Deep Learning Stories об исследованиях в сфере AI. Следите за выходом новых эпизодов на канале! 🎧⬇️
@dl_stories
На что способен GPT-3?
Какие нейросети используются для поиска новых лекарств?
Тогда тебе на канал DLStories!
На канале вы найдете:
- разборы новых архитектур;
- новости из мира AI и Deep Learning;
- ссылки на обучающие курсы, подкасты и статьи;
Также у автора канала есть свой подкаст Deep Learning Stories об исследованиях в сфере AI. Следите за выходом новых эпизодов на канале! 🎧⬇️
@dl_stories
👍6👎1
❔ Just Ask: Learning to Answer Questions from Millions of Narrated Videos
Code: https://github.com/antoyang/just-ask
Paper: https://arxiv.org/abs/2205.05019v1
Dataset: https://paperswithcode.com/dataset/webvidvqa3m
@ArtificialIntelligencedl
Code: https://github.com/antoyang/just-ask
Paper: https://arxiv.org/abs/2205.05019v1
Dataset: https://paperswithcode.com/dataset/webvidvqa3m
@ArtificialIntelligencedl
👍1
Shadow-Aware Dynamic Convolution for Shadow Removal
Shadow-Aware Dynamic Convolution (SADC) to resolve the contradiction between the shadow region and non-shadow region for shadow removal. Please refer to the paper for details.
Code: https://github.com/xuyimin0926/sadc
Paper: https://arxiv.org/abs/2205.04908v1
Dataset: https://paperswithcode.com/dataset/istd
@ArtificialIntelligencedl
Shadow-Aware Dynamic Convolution (SADC) to resolve the contradiction between the shadow region and non-shadow region for shadow removal. Please refer to the paper for details.
Code: https://github.com/xuyimin0926/sadc
Paper: https://arxiv.org/abs/2205.04908v1
Dataset: https://paperswithcode.com/dataset/istd
@ArtificialIntelligencedl
👍5
Group R-CNN for Point-based Weakly Semi-supervised Object Detection
Code: https://github.com/jshilong/grouprcnn
Paper: https://arxiv.org/abs/2205.05920v1
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
Code: https://github.com/jshilong/grouprcnn
Paper: https://arxiv.org/abs/2205.05920v1
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model
Low complexity implementation of the WaveRNN-based LPCNet algorithm
Github: https://github.com/xiph/lpcnet
Paper: https://arxiv.org/abs/2205.05785v1
OpenSLR: https://www.openslr.org/
@ArtificialIntelligencedl
Low complexity implementation of the WaveRNN-based LPCNet algorithm
Github: https://github.com/xiph/lpcnet
Paper: https://arxiv.org/abs/2205.05785v1
OpenSLR: https://www.openslr.org/
@ArtificialIntelligencedl
👍5
📝 Automated Crossword Solving
Pretrained models, precomputed FAISS embeddings, and a crossword clue-answer dataset.
Github: https://github.com/albertkx/berkeley-crossword-solver
Paper: https://arxiv.org/abs/2205.09665v1
Dataset: https://www.xwordinfo.com/JSON/
Pretrained models, precomputed FAISS embeddings, and a crossword clue-answer dataset.
Github: https://github.com/albertkx/berkeley-crossword-solver
Paper: https://arxiv.org/abs/2205.09665v1
Dataset: https://www.xwordinfo.com/JSON/
👍6👎1
[RK-Net]Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization
Github: https://github.com/AggMan96/RK-Net
Paper: https://zhunzhong.site/paper/RK_Net.pdf
Dataset: https://paperswithcode.com/dataset/university-1652
@ArtificialIntelligencedl
Github: https://github.com/AggMan96/RK-Net
Paper: https://zhunzhong.site/paper/RK_Net.pdf
Dataset: https://paperswithcode.com/dataset/university-1652
@ArtificialIntelligencedl
👍5
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling
First VAE framework empowered with adaptive GPT-2s (AdaVAE).
Github: https://github.com/ImKeTT/adavae
Paper: https://arxiv.org/abs/2205.05862v1
Task: https://paperswithcode.com/task/representation-learning
@ArtificialIntelligencedl
First VAE framework empowered with adaptive GPT-2s (AdaVAE).
Github: https://github.com/ImKeTT/adavae
Paper: https://arxiv.org/abs/2205.05862v1
Task: https://paperswithcode.com/task/representation-learning
@ArtificialIntelligencedl
👍6
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
Github: https://github.com/explainableml/kg-sp
Paper: https://arxiv.org/abs/2205.06784v1
Dataset: https://paperswithcode.com/dataset/conceptnet
@ArtificialIntelligencedl
Github: https://github.com/explainableml/kg-sp
Paper: https://arxiv.org/abs/2205.06784v1
Dataset: https://paperswithcode.com/dataset/conceptnet
@ArtificialIntelligencedl
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems.
Github: https://github.com/rahmanidashti/fairrecsys
Paper: https://arxiv.org/abs/2205.08289v1
Dataset: https://paperswithcode.com/dataset/movielens
@ArtificialIntelligencedl
Github: https://github.com/rahmanidashti/fairrecsys
Paper: https://arxiv.org/abs/2205.08289v1
Dataset: https://paperswithcode.com/dataset/movielens
@ArtificialIntelligencedl