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Notes on computer vision
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VendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image Detection
The paper introduces VendorBench-100, a benchmark for evaluating deepfake image detection models across three paradigms: commercial APIs, zero-shot vision-language models (LLMs), and open-source detectors. The…
VendorBench-100: A Unified Cross-Paradigm Benchmark for Deepfake Image Detection
A study introduces VendorBench-100, a cross-paradigm benchmark for deepfake image detection that evaluates different models using a common protocol. The benchmark includes a diverse set of edge cases and uses the…
TreeAgent: A Generalizable Multi-Agent Framework for Automated Bias Labeling in Forestry via Compiled Expert Rules and Vision-Language Models
Researchers have proposed a multi-agent system that uses expert decision trees and Vision-Language Models (VLMs) to automate the bias classification in tree height in forestry remote sensing. The system mitigates VLM…
Confidence-Aware Tool Orchestration for Robust Video Understanding
The researchers propose a framework called Robust-TO for video understanding that addresses the 'Blind Trust Problem' in video reasoning language models. The proposed method incorporates per-frame trustworthiness into…
Confidence-Aware Tool Orchestration for Robust Video Understanding
The paper presents a new framework called Robust-TO for video understanding that addresses the issue of 'Blind Trust Problem' in current language models. These models assume every input frame is equally reliable, but…
Look-Before-Move: Narrative-Grounded World Visual Attention in Dynamic 3D Story Worlds
Researchers have developed a new camera planning framework called Look-Before-Move for embodied AI operating in dynamic 3D environments. The goal is to enable the camera to actively decide what to observe, not just…
EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence
Researchers have developed a new benchmark called Evidence-Grounded Video Question Answering Benchmark (EG-VQA) to evaluate the performance of video question answering models. The benchmark is unique because it…
NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation
Researchers have developed a transformer-based multimodal framework named NoContactNoWorries that allows robots to infer binary contact states from RGB-D vision and the robot's proprioception. This approach offers a…
OrbitForge: Text-to-3D Scene Generation via Reconstruction-Anchored Video Synthesis
The researchers introduce OrbitForge, a method that converts single text-generated videos into 3D scenes using frozen video priors and per-prompt Gaussian Splatting reconstruction optimization. The method uses 3D…
RS-Gen: A Multi-Stage Agentic Framework for Reasoning and Search-Augmented Image Generation
The paper introduces RS-Gen, a multi-stage image agent framework that aims to improve the performance of existing image generation and editing models by introducing a 'Questioning-and-Solving' closed-loop mechanism for…
Semantic Browsing: Controllable Diversity for Image Generation
Researchers have developed a new method for generating diverse images using text-to-image models. Instead of relying on stochastic variations within the model, they induce diversity directly at the text level. The…
VideoAgent: All-in-One Framework for Video Understanding and Editing
Researchers have developed a new framework called VideoAgent to automate video editing tasks. The system can handle diverse editing operations and understand long videos, addressing limitations in existing automated…
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