Attention mechanisms in computer vision: A survey
Humans can naturally and effectively find salient regions in complex scenes. Motivated by
this observation, attention mechanisms were introduced into computer vision with the aim of …
this observation, attention mechanisms were introduced into computer vision with the aim of …
Person re-identification: A retrospective on domain specific open challenges and future trends
Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …
which aims to automatically recognize and locate individuals across a multi-camera network …
Counterfactual attention learning for fine-grained visual categorization and re-identification
Attention mechanism has demonstrated great potential in fine-grained visual recognition
tasks. In this paper, we present a counterfactual attention learning method to learn more …
tasks. In this paper, we present a counterfactual attention learning method to learn more …
Nformer: Robust person re-identification with neighbor transformer
Person re-identification aims to retrieve persons in highly varying settings across different
cameras and scenarios, in which robust and discriminative representation learning is …
cameras and scenarios, in which robust and discriminative representation learning is …
Dynamic dual-attentive aggregation learning for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality pedestrian
retrieval problem. Due to the large intra-class variations and cross-modality discrepancy with …
retrieval problem. Due to the large intra-class variations and cross-modality discrepancy with …
Adaptive subspaces for few-shot learning
Object recognition requires a generalization capability to avoid overfitting, especially when
the samples are extremely few. Generalization from limited samples, usually studied under …
the samples are extremely few. Generalization from limited samples, usually studied under …
Relation-aware global attention for person re-identification
For person re-identification (re-id), attention mechanisms have become attractive as they
aim at strengthening discriminative features and suppressing irrelevant ones, which …
aim at strengthening discriminative features and suppressing irrelevant ones, which …
Semantic-aware knowledge distillation for few-shot class-incremental learning
A Cheraghian, S Rahman, P Fang… - Proceedings of the …, 2021 - openaccess.thecvf.com
Few-shot class incremental learning (FSCIL) portrays the problem of learning new concepts
gradually, where only a few examples per concept are available to the learner. Due to the …
gradually, where only a few examples per concept are available to the learner. Due to the …
Cross-modality person re-identification with shared-specific feature transfer
Cross-modality person re-identification (cm-ReID) is a challenging but key technology for
intelligent video analysis. Existing works mainly focus on learning modality-shared …
intelligent video analysis. Existing works mainly focus on learning modality-shared …
Visible-infrared person re-identification via semantic alignment and affinity inference
Visible-infrared person re-identification (VI-ReID) focuses on matching the pedestrian
images of the same identity captured by different modality cameras. The part-based methods …
images of the same identity captured by different modality cameras. The part-based methods …