Trending Computer Vision

The most popular computer vision content from the past 3 days. Curated by AI News.

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Llms

[For Hire] Full-Stack AI/ML Engineer | Agentic AI · RAG · Computer Vision · Voice AI · LangGraph · FastAPI | Remote

Hey everyone, I'm a Full-Stack AI/ML Engineer with 3+ years of production experience across Agentic AI, RAG pipelines, Computer Vision, a...

Reddit - ML Jobs · 1 min ·
Senate Democrats are trying to ‘codify’ Anthropic’s red lines on autonomous weapons and mass surveillance | The Verge
Computer Vision

Senate Democrats are trying to ‘codify’ Anthropic’s red lines on autonomous weapons and mass surveillance | The Verge

Sen. Adam Schiff (D-CA) is drafting a bill to codify safeguards around the use of AI for autonomous weapons and mass domestic surveillanc...

The Verge - AI · 7 min ·
[2603.22593] Language Models Can Explain Visual Features via Steering
Llms

[2603.22593] Language Models Can Explain Visual Features via Steering

Abstract page for arXiv paper 2603.22593: Language Models Can Explain Visual Features via Steering

arXiv - AI · 3 min ·
[2603.22855] TorR: Towards Brain-Inspired Task-Oriented Reasoning via Cache-Oriented Algorithm-Architecture Co-design
Computer Vision

[2603.22855] TorR: Towards Brain-Inspired Task-Oriented Reasoning via Cache-Oriented Algorithm-Architecture Co-design

Abstract page for arXiv paper 2603.22855: TorR: Towards Brain-Inspired Task-Oriented Reasoning via Cache-Oriented Algorithm-Architecture ...

arXiv - Machine Learning · 4 min ·
[2603.22942] Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning
Llms

[2603.22942] Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning

Abstract page for arXiv paper 2603.22942: Optimizing Small Language Models for NL2SQL via Chain-of-Thought Fine-Tuning

arXiv - AI · 3 min ·
[2506.13925] Segmenting Visuals With Querying Words: Language Anchors For Semi-Supervised Image Segmentation
Llms

[2506.13925] Segmenting Visuals With Querying Words: Language Anchors For Semi-Supervised Image Segmentation

Abstract page for arXiv paper 2506.13925: Segmenting Visuals With Querying Words: Language Anchors For Semi-Supervised Image Segmentation

arXiv - AI · 4 min ·
[2603.23356] Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors
Machine Learning

[2603.23356] Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors

Abstract page for arXiv paper 2603.23356: Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors

arXiv - AI · 4 min ·
[2603.23020] Concept-based explanations of Segmentation and Detection models in Natural Disaster Management
Machine Learning

[2603.23020] Concept-based explanations of Segmentation and Detection models in Natural Disaster Management

Abstract page for arXiv paper 2603.23020: Concept-based explanations of Segmentation and Detection models in Natural Disaster Management

arXiv - AI · 4 min ·
[2603.21213] Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis
Machine Learning

[2603.21213] Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis

Abstract page for arXiv paper 2603.21213: Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis

arXiv - AI · 3 min ·
[2603.21661] Cross-Scenario Deraining Adaptation with Unpaired Data: Superpixel Structural Priors and Multi-Stage Pseudo-Rain Synthesis
Machine Learning

[2603.21661] Cross-Scenario Deraining Adaptation with Unpaired Data: Superpixel Structural Priors and Multi-Stage Pseudo-Rain Synthesis

Abstract page for arXiv paper 2603.21661: Cross-Scenario Deraining Adaptation with Unpaired Data: Superpixel Structural Priors and Multi-...

arXiv - Machine Learning · 4 min ·
[2411.16196] Learn from Foundation Model: Fruit Detection Model without Manual Annotation
Llms

[2411.16196] Learn from Foundation Model: Fruit Detection Model without Manual Annotation

Abstract page for arXiv paper 2411.16196: Learn from Foundation Model: Fruit Detection Model without Manual Annotation

arXiv - Machine Learning · 4 min ·
[2603.20777] OmniPatch: A Universal Adversarial Patch for ViT-CNN Cross-Architecture Transfer in Semantic Segmentation
Machine Learning

[2603.20777] OmniPatch: A Universal Adversarial Patch for ViT-CNN Cross-Architecture Transfer in Semantic Segmentation

Abstract page for arXiv paper 2603.20777: OmniPatch: A Universal Adversarial Patch for ViT-CNN Cross-Architecture Transfer in Semantic Se...

arXiv - Machine Learning · 3 min ·
[2603.20898] Natural Gradient Descent for Online Continual Learning
Machine Learning

[2603.20898] Natural Gradient Descent for Online Continual Learning

Abstract page for arXiv paper 2603.20898: Natural Gradient Descent for Online Continual Learning

arXiv - Machine Learning · 3 min ·
[2603.20292] HSI Image Enhancement Classification Based on Knowledge Distillation: A Study on Forgetting
Machine Learning

[2603.20292] HSI Image Enhancement Classification Based on Knowledge Distillation: A Study on Forgetting

Abstract page for arXiv paper 2603.20292: HSI Image Enhancement Classification Based on Knowledge Distillation: A Study on Forgetting

arXiv - Machine Learning · 3 min ·
[2603.25091] Pixelis: Reasoning in Pixels, from Seeing to Acting
Computer Vision

[2603.25091] Pixelis: Reasoning in Pixels, from Seeing to Acting

Abstract page for arXiv paper 2603.25091: Pixelis: Reasoning in Pixels, from Seeing to Acting

arXiv - AI · 4 min ·

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