https://github.com/maryeon/whiten_mtd
공식 코드Let All be Whitened: Multi-teacher Distillation for Efficient Visual Retrieval
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/masterbin-iiau/unicorn
공식 코드https://github.com/mastervito/diffusionvg
공식 코드Exploring Iterative Refinement with Diffusion Models for Video Grounding
https://github.com/mattiasegu/darth
공식 코드DARTH: Holistic Test-time Adaptation for Multiple Object Tracking
https://github.com/max810/XMem2
공식 코드XMem++: Production-level Video Segmentation From Few Annotated Frames
https://github.com/maxin-cn/Latte
공식 코드https://github.com/mayhugotong/videoinsta
공식 코드VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs
https://github.com/mayuelala/followyourclick
공식 코드Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
https://github.com/mayuelala/followyourpose
공식 코드Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos
https://github.com/mayuelala/magicstick
공식 코드MagicStick: Controllable Video Editing via Control Handle Transformations
https://github.com/mazhf/ms-rnn
공식 코드MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning
https://github.com/mazurowski-lab/SlicerSegmentHumanBody
공식 코드Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
https://github.com/mazurowski-lab/slm-sam2
공식 코드Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
https://github.com/mbhenaff/EEN
공식 코드https://github.com/mbzuai-oryx/AIN
공식 코드https://github.com/mbzuai-oryx/CAMEL-Bench
공식 코드https://github.com/mbzuai-oryx/video-chatgpt
공식 코드Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
https://github.com/mbzuai-oryx/video-llava
공식 코드https://github.com/mbzuai-oryx/videogpt-plus
공식 코드VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
https://github.com/mbzuai-oryx/videomolmo
공식 코드https://github.com/mcahny/Deep-Video-Inpainting
공식 코드https://github.com/mcahny/vps
공식 코드https://github.com/mcao92/mobilesci
공식 코드Towards Real-time Video Compressive Sensing on Mobile Devices
https://github.com/mcg-nju/basictad
공식 코드BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection
https://github.com/mcg-nju/bivdiff
공식 코드https://github.com/mcg-nju/ddm
공식 코드Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection
https://github.com/mcg-nju/ema-vfi
공식 코드Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
https://github.com/mcg-nju/fsl-video
공식 코드A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
https://github.com/mcg-nju/memotr
공식 코드MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
https://github.com/mcg-nju/mgsampler
공식 코드MGSampler: An Explainable Sampling Strategy for Video Action Recognition
https://github.com/mcg-nju/mmn
공식 코드Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
https://github.com/mcg-nju/pointtad
공식 코드PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
https://github.com/mcg-nju/sportshhi
공식 코드SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos
https://github.com/mcg-nju/vfimamba
공식 코드https://github.com/mcg-nju/vit-tad
공식 코드Adapting Short-Term Transformers for Action Detection in Untrimmed Videos
https://github.com/mcg-nju/vlg
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.