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
Towards effective person search with deep learning: A survey from systematic perspective
Person search detects and retrieves simultaneously a query person across uncropped
scene images captured by multiple non-overlap** cameras. In light of the deep learning …
scene images captured by multiple non-overlap** cameras. In light of the deep learning …
Transformer for object re-identification: A survey
Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …
times and scenes, which is a widely researched task in computer vision. For a prolonged …
Textual context-aware dense captioning with diverse words
Dense captioning generates more detailed spoken descriptions for complex visual scenes.
Despite several promising leads, existing methods still have two broad limitations: 1) The …
Despite several promising leads, existing methods still have two broad limitations: 1) The …
DCMSTRD: end-to-end dense captioning via multi-scale transformer decoding
Dense captioning creates diverse Region of Interests (RoIs) descriptions for complex visual
scenes. While promising results have been obtained, several issues persist. In particular: 1) …
scenes. While promising results have been obtained, several issues persist. In particular: 1) …
Attentive multi-granularity perception network for person search
Person search is an extremely challenging task that seeks to identify individuals through
joint person detection and person re-identification from uncropped real scene images …
joint person detection and person re-identification from uncropped real scene images …
Nonlinear impact and spatial effect of tourism urbanization on human settlement environment: Evidence from the Yellow River Basin, China
M Ma, J Tang - Journal of Cleaner Production, 2023 - Elsevier
The human settlement environment is the concrete embodiment of measuring the
sustainable development of tourism urbanization. Previous studies have preliminarily …
sustainable development of tourism urbanization. Previous studies have preliminarily …
Learning adaptive shift and task decoupling for discriminative one-step person search
Mainstream person search models aim to jointly optimize person detection and re-
identification (ReID) in a one-step manner. Despite notable progress, existing one-step …
identification (ReID) in a one-step manner. Despite notable progress, existing one-step …
Self-similarity driven scale-invariant learning for weakly supervised person search
Weakly supervised person search aims to jointly detect and match persons with only
bounding box annotations. Existing approaches typically focus on improving the features by …
bounding box annotations. Existing approaches typically focus on improving the features by …
Deep intra-image contrastive learning for weakly supervised one-step person search
Weakly supervised person search aims to perform joint pedestrian detection and re-
identification (re-id) with only bounding-box annotations. Recently, the idea of contrastive …
identification (re-id) with only bounding-box annotations. Recently, the idea of contrastive …
Gallery filter network for person search
In person search, we aim to localize a query person from one scene in other gallery scenes.
The cost of this search operation is dependent on the number of gallery scenes, making it …
The cost of this search operation is dependent on the number of gallery scenes, making it …