Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Temporal context aggregation network for temporal action proposal refinement
Temporal action proposal generation aims to estimate temporal intervals of actions in
untrimmed videos, which is a challenging yet important task in the video understanding field …
untrimmed videos, which is a challenging yet important task in the video understanding field …
Bsn++: Complementary boundary regressor with scale-balanced relation modeling for temporal action proposal generation
Generating human action proposals in untrimmed videos is an important yet challenging
task with wide applications. Current methods often suffer from the noisy boundary locations …
task with wide applications. Current methods often suffer from the noisy boundary locations …
Ddg-net: Discriminability-driven graph network for weakly-supervised temporal action localization
Weakly-supervised temporal action localization (WTAL) is a practical yet challenging task.
Due to large-scale datasets, most existing methods use a network pretrained in other …
Due to large-scale datasets, most existing methods use a network pretrained in other …
Adaptive stage-aware assessment skill transfer for skill determination
Skill determination aims to evaluate how well a participant performs a specific action. The
task is rather challenging, due to the diversity of action types and the scarcity of samples …
task is rather challenging, due to the diversity of action types and the scarcity of samples …
Context-aware graph convolution network for target re-identification
Most existing re-identification methods focus on learning robust and discriminative features
with deep convolution networks. However, many of them consider content similarity …
with deep convolution networks. However, many of them consider content similarity …
Temporal filtering networks for online action detection
Online action detection aims to detect a current action from an untrimmed, streaming video,
where only current and past frames are available. Recent methods for online action …
where only current and past frames are available. Recent methods for online action …
Adaptive mutual supervision for weakly-supervised temporal action localization
Weakly-supervised temporal action localization aims to localize actions from untrimmed long
videos with only video-level category labels. Most previous methods ignore the …
videos with only video-level category labels. Most previous methods ignore the …
Dual-channel localization networks for moment retrieval with natural language
According to the given natural language query, moment retrieval aims to localize the most
relevant moment in an untrimmed video. The existing solutions for this problem can be …
relevant moment in an untrimmed video. The existing solutions for this problem can be …
Multi-dimensional attention with similarity constraint for weakly-supervised temporal action localization
Weakly-supervised temporal action localization (WTAL) is a challenging task in
understanding untrimmed videos, in which no frame-wise annotation is provided during …
understanding untrimmed videos, in which no frame-wise annotation is provided during …
Segtad: Precise temporal action detection via semantic segmentation
C Zhao, M Ramazanova, M Xu, B Ghanem - European Conference on …, 2022 - Springer
Temporal action detection (TAD) is an important yet challenging task in video analysis. Most
existing works draw inspiration from image object detection and tend to reformulate it as a …
existing works draw inspiration from image object detection and tend to reformulate it as a …