bounding boxes
PulseAugur coverage of bounding boxes — every cluster mentioning bounding boxes across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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MLLMs automate surgical instrument bounding box annotation, creating large dataset
Researchers have developed a new framework using multimodal large language models (MLLMs) to efficiently generate bounding box annotations for surgical instruments from existing presence labels. This method was tested o…
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RGB-Infrared Fusion Methods Compared for Counter-UAV Detection
This paper investigates two methods for fusing visible (RGB) and infrared (IR) data to improve the detection of unmanned aerial vehicles (UAVs). The study compares "early fusion," which merges spectra into a single imag…
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New P3-VLM model tackles 3D vision-language tasks with point-based grounding
Researchers have identified a significant issue in 3D vision-language models (VLMs) where the common use of bounding boxes for spatial prompts creates a "semantic leakage," allowing models to perform well without fully …
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Image annotation costs in 2026 to vary by complexity and type
The cost of image annotation in 2026 will depend on several factors, including the complexity of the task, volume of data, quality assurance processes, required expertise, and turnaround time. Specific annotation types …
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MegaParts scales 3D object generation to 300 parts using token-efficient autoregressive modeling
Researchers have developed MegaParts, a novel framework for 3D object generation that significantly scales part-aware modeling. By employing token-efficient vector-quantized part tokens and structured autoregressive seq…
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MixDiffusion framework enables multi-condition text-to-image synthesis
Researchers have introduced MixDiffusion, a novel framework designed to enhance text-to-image generation by allowing the integration of multiple control conditions simultaneously. Unlike existing methods that are typica…