The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Abstract: Semantic segmentation is crucial for environmental perception. Existing discriminative deep learning(DL) approaches enable efficient segmentation but lack modeling of underlying data ...
Abstract: Safe navigation of self-driving cars and robots requires a precise understanding of their environment. Training data for perception systems cannot cover the wide variety of objects that may ...
Public Dataset Features Long-Range FMCW LiDAR and Camera Data to Accelerate Next-Generation Autonomous Vehicle Perception MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- Aeva® (Nasdaq: AEVA), a leader in ...
Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...
ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
Introduction: Accurate leaf area quantification is vital for early phenotyping in small-seeded crops such as broccoli (Brassica oleracea var. italica), where dense, overlapping, and irregular foliage ...
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