https://github.com/Flowerfan/SF-Net
공식 코드SF-Net: Single-Frame Supervision for Temporal Action Localization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
In this task, the training data consists of videos with a list of activities in them without any temporal boundary annotations. However, while testing, given a video, the algorithm should recognize the activities in the video and also provide the start and end time.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
SF-Net: Single-Frame Supervision for Temporal Action Localization
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization
Background Suppression Network for Weakly-supervised Temporal Action Localization
Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
Weakly-supervised Temporal Action Localization by Uncertainty Modeling
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
FineAction: A Fine-Grained Video Dataset for Temporal Action Localization
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
Weakly-Supervised Action Localization by Generative Attention Modeling
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning
ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization
W-TALC: Weakly-supervised Temporal Activity Localization and Classification
UntrimmedNets for Weakly Supervised Action Recognition and Detection
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning
VideoMix: Rethinking Data Augmentation for Video Classification
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
Guess Where? Actor-Supervision for Spatiotemporal Action Localization
Guess Where? Actor-Supervision for Spatiotemporal Action Localization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.