Cross-modal implicit relation reasoning and aligning for text-to-image person retrieval
D Jiang, M Ye - Proceedings of the IEEE/CVF Conference …, 2023 - openaccess.thecvf.com
Text-to-image person retrieval aims to identify the target person based on a given textual
description query. The primary challenge is to learn the map** of visual and textual …
description query. The primary challenge is to learn the map** of visual and textual …
Clip-driven fine-grained text-image person re-identification
Text-Image Person Re-identification (TIReID) aims to retrieve the image corresponding to
the given text query from a pool of candidate images. Existing methods employ prior …
the given text query from a pool of candidate images. Existing methods employ prior …
Pedestrian-specific bipartite-aware similarity learning for text-based person retrieval
Text-based person retrieval is a challenging task that aims to search pedestrian images with
the same identity according to language descriptions. Current methods usually …
the same identity according to language descriptions. Current methods usually …
Image-specific information suppression and implicit local alignment for text-based person search
Text-based person search (TBPS) is a challenging task that aims to search pedestrian
images with the same identity from an image gallery given a query text. In recent years …
images with the same identity from an image gallery given a query text. In recent years …
Noisy-correspondence learning for text-to-image person re-identification
Text-to-image person re-identification (TIReID) is a compelling topic in the cross-modal
community which aims to retrieve the target person based on a textual query. Although …
community which aims to retrieve the target person based on a textual query. Although …
Rasa: Relation and sensitivity aware representation learning for text-based person search
Text-based person search aims to retrieve the specified person images given a textual
description. The key to tackling such a challenging task is to learn powerful multi-modal …
description. The key to tackling such a challenging task is to learn powerful multi-modal …
An empirical study of clip for text-based person search
Text-based Person Search (TBPS) aims to retrieve the person images using natural
language descriptions. Recently, Contrastive Language Image Pretraining (CLIP), a …
language descriptions. Recently, Contrastive Language Image Pretraining (CLIP), a …
An Overview of Text-based Person Search: Recent Advances and Future Directions
Due to the practical significance in smart video surveillance systems, Text-Based Person
Search (TBPS) has been one of the research hotspots recently, which refers to searching for …
Search (TBPS) has been one of the research hotspots recently, which refers to searching for …
Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID
Text-to-image person re-identification (ReID) retrieves pedestrian images according to
textual descriptions. Manually annotating textual descriptions is time-consuming restricting …
textual descriptions. Manually annotating textual descriptions is time-consuming restricting …
Exploiting the textual potential from vision-language pre-training for text-based person search
Text-based Person Search (TPS), is targeted on retrieving pedestrians to match text
descriptions instead of query images. Recent Vision-Language Pre-training (VLP) models …
descriptions instead of query images. Recent Vision-Language Pre-training (VLP) models …