6 papers · 1 filter
FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification
Zhen Sun, Lei Tan, Yunhang Shen +5
Multimodal person re-identification (Re-ID) aims to match pedestrian images across different modalities. However, most existing methods focus on limited cross-modal settings and fa…
RIS-LAD: A Benchmark and Model for Referring Low-Altitude Drone Image Segmentation
Kai Ye, YingShi Luan, Zhudi Chen +3
Referring Image Segmentation (RIS), which aims to segment specific objects based on natural language descriptions, plays an essential role in vision-language understanding. Despite…
More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV
Kai Ye, Haidi Tang, Bowen Liu +3
Applications of unmanned aerial vehicle (UAV) in logistics, agricultural automation, urban management, and emergency response are highly dependent on oriented object detection (OOD…
Knowing Where to Focus: Attention-Guided Alignment for Text-based Person Search
Lei Tan, Weihao Li, Pingyang Dai +3
In the realm of Text-Based Person Search (TBPS), mainstream methods aim to explore more efficient interaction frameworks between text descriptions and visual data. However, recent…
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-identification
Lei Tan, Yukang Zhang, Keke Han +4
This paper makes a step towards modeling the modality discrepancy in the cross-spectral re-identification task. Based on the Lambertain model, we observe that the non-linear modali…
PartFormer: Awakening Latent Diverse Representation from Vision Transformer for Object Re-Identification
Lei Tan, Pingyang Dai, Jie Chen +3
Extracting robust feature representation is critical for object re-identification to accurately identify objects across non-overlapping cameras. Although having a strong representa…