T
Tong Yang
Researcher at Fudan University
Publications - 20
Citations - 1272
Tong Yang is an academic researcher from Fudan University. The author has contributed to research in topics: Object detection & Object (computer science). The author has an hindex of 8, co-authored 17 publications receiving 539 citations.
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Proceedings ArticleDOI
You Only Look One-level Feature
TL;DR: YOuyang et al. as discussed by the authors revisited feature pyramids networks (FPN) for one-stage detectors and pointed out that the success of FPN is due to its divide-and-conquer solution to the optimization problem in object detection rather than multi-scale feature fusion.
Posted Content
DetNAS: Backbone Search for Object Detection
TL;DR: This work presents DetNAS to use Neural Architecture Search (NAS) for the design of better backbones for object detection and empirically finds that networks searched on object detection shows consistent superiority compared to those searched on ImageNet classification.
Journal ArticleDOI
Anchor DETR: Query Design for Transformer-Based Detector
TL;DR: The proposed detector, called Anchor DETR, can achieve better performance and run faster than the DETR with 10x fewer training epochs, and an attention variant, which can reduce the memory cost while achieving similar or better performance than the standard attention in DETR.
Posted Content
DetNAS: Neural Architecture Search on Object Detection.
TL;DR: This paper proposes DetNAS to automatically search neural architectures for the backbones of object detectors, formulated into a supernet and the search method relies on evolution algorithm (EA).
Proceedings ArticleDOI
Learning Human-Object Interaction Detection Using Interaction Points
TL;DR: This paper proposes a novel fully-convolutional approach that directly detects the interactions between human-object pairs and predicts interaction points, which directly localize and classify the inter-action.