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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ymzis69/HybridSORT
공식 코드Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
https://github.com/yongliang-wu/repurpose
공식 코드Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
https://github.com/youcanbaby/mh-detr
공식 코드MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer
https://github.com/youncy-hu/mage
공식 코드Make It Move: Controllable Image-to-Video Generation with Text Descriptions
https://github.com/youngfly/Mobius
공식 코드https://github.com/younggyoseo/apv
공식 코드Reinforcement Learning with Action-Free Pre-Training from Videos
https://github.com/youngwanLEE/VoV3D
공식 코드https://github.com/youngzhou1999/smartpretrain
공식 코드SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
https://github.com/youshaamurhij/ofmpnet
공식 코드OFMPNet: Deep End-to-End Model for Occupancy and Flow Prediction in Urban Environment
https://github.com/youshyee/CEP
공식 코드https://github.com/yoxu515/aot-benchmark
공식 코드Scalable Video Object Segmentation with Identification Mechanism
https://github.com/yoxu515/mits
공식 코드Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
https://github.com/yoxu515/viposeg-benchmark
공식 코드https://github.com/yrcong/sttran
공식 코드Spatial-Temporal Transformer for Dynamic Scene Graph Generation
https://github.com/yuanhy1997/seqdiffuseq
공식 코드SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers
https://github.com/yuanli2333/Hadamard-Matrix-for-hashing
공식 코드Central Similarity Quantization for Efficient Image and Video Retrieval
https://github.com/yuanyao366/PRP
공식 코드Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
https://github.com/yucornetto/CAKES
공식 코드CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks
https://github.com/yueatsprograms/ttt_cifar_release
공식 코드Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
https://github.com/yueatsprograms/ttt_imagenet_release
공식 코드Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
https://github.com/yuehan717/realviformer
공식 코드RealViformer: Investigating Attention for Real-World Video Super-Resolution
https://github.com/yuezijie/stinet-space-time-video-super-resolution
공식 코드Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction
https://github.com/yuhao-nie/stanford-solar-forecasting-dataset
공식 코드https://github.com/yujeong-star/siamevent
공식 코드SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks
https://github.com/yujiangpu20/pel4vad
공식 코드Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
https://github.com/yujieouo/pstl
공식 코드Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
https://github.com/yujieouo/smie
공식 코드Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization
https://github.com/yujmo/czu_mhad
공식 코드https://github.com/yujun0-0/mma-net
공식 코드VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection
https://github.com/yuk6heo/GIS-RAmap
공식 코드Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
https://github.com/yuk6heo/IVOS-ATNet
공식 코드Interactive Video Object Segmentation Using Global and Local Transfer Modules
https://github.com/yukw777/eilev
공식 코드https://github.com/yulupan00/basket
공식 코드BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation
https://github.com/yumingj/C2-Matching
공식 코드Reference-based Image and Video Super-Resolution via C2-Matching
https://github.com/yumingj/text2performer
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.