Jun 14, 2022 · We propose a novel decoder-free fully transformer-based (DFFT) object detector, achieving high efficiency in both training and inference stages, for the first ...
In this paper, we build a novel detection architecture named DFFT: Decoder-. Free Fully Transformer-based object detector, which achieves both higher ac- curacy ...
Nov 3, 2022 · We propose a novel decoder-free fully transformer-based (DFFT) object detector, achieving high efficiency in both training and inference stages, for the first ...
In particular, we design a novel lightweight detection-oriented transformer backbone that efficiently captures low-level features with rich semantics based on a ...
A novel decoder-free fully transformer-based (DFFT) object detector is proposed, achieving high efficiency in both training and inference stages, ...
We provide a supplementary experiment for our detection-oriented transformer. (DOT) backbone. In this experiment, we conduct ablation studies of the ...
Dec 19, 2023 · A novel decoder-free fully transformer-based (DFFT) object detector, which helps achieve high efficiency in both training and inference stages.
Efficient Decoder-free Object Detection with Transformers. image. ECCV2022: Paper. This code is based on mmdetection. Results. Backbone, box mAP, GFLOPs. D F F ...
Jun 16, 2024 · We simplify objection detection into an encoder-only single-level anchor-based dense prediction problem by centering around two entry points: 1) ...
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In this paper, we integrate Vision and Detection Transformers (ViDT) to build an effective and efficient object detector.