Computer Vision
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Filter storiesPiotr Skalski reports Argon leads his detection and extraction tests at both effort levels. High-effort detection reached 85.1% accuracy at one-quarter Astra's cost, taking 19.6 seconds per image.
Perceptron released its 35B Mk1.5 model for drones, quadrupeds, smart glasses, and tool-using agents. The company says the model adds audio, egocentric-video understanding, tracking, and structured outputs, with execution up to 5x faster than Mk1.
Odyssey-3 is a preview world model intended to transfer visual knowledge across robots, vehicles, drones, games, and simulations. Odyssey says downstream control policies need only a few hours of task-specific experience.
A practitioner reports using GPT-6 Astra Ultra to collect data, generate masks, and train RF-DETR-Seg-M models without human-supplied labels. Other demos show instance-segmentation and video-frame annotation workflows.
World Labs says Atlas combines visual generation with scene reconstruction. It can reconstruct scenes from images, generate camera-controlled frames, and reframe video.
A benchmark author says OpenRouter likely routed GLM-5.3-Flash requests to quantized endpoints because precision was not pinned. Twelve reruns using pinned FP8 and self-hosted inference improved results, suggesting earlier scores may have reflected routing.
Perceptron released weights, inference code, and training details for Isaac 0.5, an embodied model for video perception, reasoning, and robot control. The 36B dynamic-MoE model was trained on 1 million hours of video.
OpenBMB open-sourced MiniCPM-RobotManip, MiniCPM-RobotTrack and PhyAI, claiming local robot tracking, robot memory and throughput gains from 10 Hz to 33-36 Hz. The release packages model artifacts and a runtime path for local robot perception and manipulation experiments.
Meta launched Muse Image in its apps and previewed Muse Video from the same media-generation family. Meta says Muse Image can reason, search, write code, self-refine, and use test-time compute before generating images.