WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

GIthub: https://github.com/deepfakeinthewild/deepfake-in-the-wild

Paper: https://arxiv.org/abs/2101.01902v1

Dataset: https://docs.google.com/forms/d/e/1FAIpQLSfN-CrnxDz_Furv0KzcNdO_Nzf_3Gpy4s-P4qRjKBJuD2CaEA/viewform

@ArtificialIntelligencedl

Corner Case Description and Detection

Github: https://github.com/thouyang/ccd-dsa

Paper: https://arxiv.org/abs/2101.02494

@ArtificialIntelligencedl

A Unified Learning Approach for Hand Gesture Recognition and Fingertip Detection

Github: https://github.com/MahmudulAlam/Unified-Gesture-and-Fingertip-Detection

Paper: https://arxiv.org/abs/2101.02047v1

@ArtificialIntelligencedl

Imbalanced Few-Shot Learning Framework in Pytorch

GIthub: https://github.com/mattochal/imbalanced_fsl_public

Paper: https://arxiv.org/abs/2101.02523v1

@ArtificialIntelligencedl

DENet: a deep architecture for audio surveillance applications

GIthub: https://github.com/MiviaLab/DENet

Paper: https://link.springer.com/article/10.1007/s00521-020-05572-5

@ArtificialIntelligencedl

Superpixel-based Refinement for Object Proposal Generation

Github: https://github.com/chwilms/superpixelRefinement

Paper: https://arxiv.org/abs/2101.04574v1

@ArtificialIntelligencedl

Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels

Github: https://github.com/naver-ai/relabel_imagenet

Paper: https://arxiv.org/abs/2101.05022v1

@ArtificialIntelligencedl

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation

Github: https://github.com/huawei-noah/noah-research

Paper: https://arxiv.org/abs/2101.04849v1

@ArtificialIntelligencedl

Computer Architecture-Aware Optimisation of DNA Analysis Systems

Github: https://github.com/hasindu2008/f5c

Paper: https://arxiv.org/abs/2101.05012v1

Full Documentation : https://hasindu2008.github.io/f5c/docs/overview

@ArtificialIntelligencedl

Temporal-Relational CrossTransformers for Few-Shot Action Recognition

Github: https://github.com/tobyperrett/trx

Paper: https://arxiv.org/abs/2101.06184v1

@ArtificialIntelligencedl

Free Lunch for Few-shot Learning: Distribution Calibration

Github: https://github.com/ShuoYang-1998/ICLR2021-Oral_Distribution_Calibration

Paper: https://openreview.net/forum?id=JWOiYxMG92s

@ArtificialIntelligencedl

Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning

Github: https://github.com/zengarden/momentum2-teacher

Paper: https://arxiv.org/abs/2101.07525v1

@ArtificialIntelligencedl

Animesion

DAF:RE: A CHALLENGING, CROWD-SOURCED, LARGE-SCALE, LONG-TAILED
DATASET FOR ANIME CHARACTER RECOGNITION

Code:https://github.com/arkel23/animesion

Paper: https://arxiv.org/abs/2101.08674v1

@ArtificialIntelligencedl

Self-Adaptive Training

Github: https://github.com/LayneH/self-adaptive-training

Paper: https://arxiv.org/abs/2101.08732v1

@ArtificialIntelligencedl

Supervision by Registration and Triangulation for Landmark Detection

Github: https://github.com/D-X-Y/landmark-detection

Paper: https://arxiv.org/abs/2101.09866v1

@ArtificialIntelligencedl

Summarising Historical Text in Modern Languages

Github: https://github.com/Pzoom522/HistSumm

Paper: https://arxiv.org/abs/2101.10759v2

@ArtificialIntelligencedl