https://github.com/pipixin321/hr-pro
공식 코드HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
Papers with Code 아카이브
Temporal Action Localization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 8
- 평가표
- 14
- 보존된 평가 기록
- 125
Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/pkorus/neural-imaging
공식 코드https://github.com/pkunlp-icler/ike
공식 코드https://github.com/polimi-ispl/icpr2020dfdc
공식 코드https://github.com/prabuddha1/acpe
공식 코드https://github.com/princeton-nlp/mquake
공식 코드MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
https://github.com/proteus1991/pscc-net
공식 코드https://github.com/prouast/ctc-intake-detection
공식 코드Single-stage intake gesture detection using CTC loss and extended prefix beam search
https://github.com/prouast/deep-intake-detection
공식 코드Learning deep representations for video-based intake gesture detection
https://github.com/ptirupat/MLAD
공식 코드Modeling Multi-Label Action Dependencies for Temporal Action Localization
https://github.com/ptoupas/harflow3d
공식 코드HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices
https://github.com/purduedigitaltwin/seneva
공식 코드Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
https://github.com/pxiangwu/MotionNet
공식 코드https://github.com/pytorch/fairseq
공식 코드VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
https://github.com/qilimk/biggan-am
공식 코드https://github.com/qinghua-zhou/stealth-edits
공식 코드https://github.com/qinying-liu/c3bn
공식 코드Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization
https://github.com/qinying-liu/case
공식 코드https://github.com/qiuzh20/tuning-keys-v.s.-values
공식 코드Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers
https://github.com/qizhou000/DAFNet
공식 코드DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models
https://github.com/qizhou000/RECIPE
공식 코드Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
https://github.com/qizhou000/visedit
공식 코드https://github.com/qualityminds/cistgcn
공식 코드Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting
https://github.com/quqxui/medlasa
공식 코드Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
https://github.com/rana2149/actnetformer
공식 코드ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
https://github.com/rate-accuracy-mvcnn/main
공식 코드Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural Networks
https://github.com/realcrane/SMART
공식 코드Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
https://github.com/reddyav1/rocog-v2
공식 코드Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances
https://github.com/reddyav1/unite
공식 코드Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
https://github.com/richardtml/divita
공식 코드https://github.com/ricky-xian/mitfas
공식 코드https://github.com/ricky-xian/pmi-sampler
공식 코드PMI Sampler: Patch Similarity Guided Frame Selection for Aerial Action Recognition
https://github.com/rmokady/JOKR
공식 코드JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting
https://github.com/roberto1648/adversarial-perturbations-on-images-and-videos
공식 코드Targeted Nonlinear Adversarial Perturbations in Images and Videos
https://github.com/robinwangsd/diffusion-with-multi-modal-priors
공식 코드https://github.com/rocketappslab/bdmm
공식 코드Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.