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cs.CV2026

Test-Time Registers as Global Priors for Tokenized Image Generation

Cheng-Yao Hong, Yifan Wang, Yuewei Lin +1

Attention-based models often develop attention sinks, where a small number of tokens repeatedly attract attention and accumulate unusually large activations. In vision transformers…

cs.CV2026

Together, Then Apart: Balancing Alignment and Distinctiveness for Multimodal Survival Analysis

Wenjing Liu, Qin Ren, Wen Zhang +2

The paper introduces TTA, a framework that first aligns shared patterns across histopathology images and genomic data and then preserves modality‑specific information to improve ca…

cs.CV2026

Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference

Sk Miraj Ahmed, Xi Yu, Yunqi Li +2

Accurate biodiversity identification from large-scale field data is a foundational problem with direct impact on ecology, conservation, and environmental monitoring. In practice, t…

cs.CV2026

FCC: Fully Connected Correlation for One-Shot Segmentation

Seonghyeon Moon, Haein Kong, Muhammad Haris Khan +2

Few-shot segmentation (FSS) aims to segment the target object in a query image using only a small set of support images and masks. Therefore, having strong prior information for th…

cs.CV2024

DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation

Yifan Wu, Jiawei Du, Ping Liu +3

Dataset distillation is an advanced technique aimed at compressing datasets into significantly smaller counterparts, while preserving formidable training performance. Significant e…