·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs3h◆A Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv83h◆The Value of Memory in Language Agents3h◆HyScale: Scaling Long-Context Training for Learned Sparse Attention3h◆Training an MoE LLM in MXFP4: How We Closed the Gap to BF163h◆WiMoT: Replay-Free Continual Wi-Fi Sensing via Moment Transport3h◆Advancing SVD-based LLM Compression via Layer-Wise Error Model Search3h◆Discovering and Reasoning of Causality in the Hidden World with Large Language Models3h◆Matching Matters: A Fair Quality-Efficiency Benchmark for Command-Line Agents3h◆AdaptTok-Indic: Script-Aware Adaptive Tokenization for Indic Languages3h◆EviGround-CT: Sentence-to-Volume Grounding for Verifying LLM-Generated Chest CT Reports3h◆When Personas Become Harmful: Guiding LLMs with Global Citizenship Values Alignment3h◆EXCISE: Locating and Excising Distracting Sentences in Medical Question Answering3h◆Hierarchical Skill Evolution for Coding Agent3h◆Offline Language-Based Support System for Tactical Decision-Making in Air Combat Operations3h◆Evaluating DeepSeek V4.1 Flash-1017 for loss of control and harmful manipulation risks3h◆VerifyMAS: Hypothesis Verification for Failure Attribution in LLM-based Multi-Agent Systems3h◆Naturalistic measure of social norms alignment3h◆QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks3h◆HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol3h◆LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs3h◆A Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv83h◆The Value of Memory in Language Agents3h◆HyScale: Scaling Long-Context Training for Learned Sparse Attention3h◆Training an MoE LLM in MXFP4: How We Closed the Gap to BF163h◆WiMoT: Replay-Free Continual Wi-Fi Sensing via Moment Transport3h◆Advancing SVD-based LLM Compression via Layer-Wise Error Model Search3h◆Discovering and Reasoning of Causality in the Hidden World with Large Language Models3h◆Matching Matters: A Fair Quality-Efficiency Benchmark for Command-Line Agents3h◆AdaptTok-Indic: Script-Aware Adaptive Tokenization for Indic Languages3h◆EviGround-CT: Sentence-to-Volume Grounding for Verifying LLM-Generated Chest CT Reports3h◆When Personas Become Harmful: Guiding LLMs with Global Citizenship Values Alignment3h◆EXCISE: Locating and Excising Distracting Sentences in Medical Question Answering3h◆Hierarchical Skill Evolution for Coding Agent3h◆Offline Language-Based Support System for Tactical Decision-Making in Air Combat Operations3h◆Evaluating DeepSeek V4.1 Flash-1017 for loss of control and harmful manipulation risks3h◆VerifyMAS: Hypothesis Verification for Failure Attribution in LLM-based Multi-Agent Systems3h◆Naturalistic measure of social norms alignment3h◆QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks3h◆HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol3h◆
News/Learning Instance-Adaptive Low-Rank Orthogonal Subspaces for Clothes-Changing Person Re-Identification
arxiv
PublishedJune 12, 2026 at 4:00 AM
▲bullish

Learning Instance-Adaptive Low-Rank Orthogonal Subspaces for Clothes-Changing Person Re-Identification

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.11661v1 Announce Type: cross Abstract: Clothes-changing person re-identification (CC-ReID) aims to recognize individuals despite drastic appearance changes caused by clothing variation. While existing methods rely on adversarial learning to disentangle clothing features, we propose Ortho-

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Mentioned models
02
  • 01
    Ortho-ReID
  • 02
    Basis Maker
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#computer-vision#machine-learning#reidentification#transformer

No replies yet. Be first.

Mentioned models
02
  • 01
    Ortho-ReID
  • 02
    Basis Maker
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#computer-vision#machine-learning#reidentification#transformer

Related coverage

More from ARXIV
arxivLiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs3harxivA Computer Vision Approach to Visual Fraud Detection in Phishing Websites Using YOLOv83harxivThe Value of Memory in Language Agents3harxivHyScale: Scaling Long-Context Training for Learned Sparse Attention3h
The Bubble Brief
MON · WED · FRI

Read computer-vision insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews