paper-with-me

Object Detection 벤치마크

Object Detection on COCO (Common Objects in Context)

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box AP

58.5 58.67 58.85 59.03 59.2 2022-10 2026-11 MOAT-3 22K+1K — 59.2 (2022-10-04) MOAT-2 — 58.5 (2022-10-04) MOAT-3 22K+1K — 59.2 (2022-10-04) MOAT-2 — 58.5 (2022-10-04) MOAT-3 22K+1K — 59.2 (2022-10-04) MOAT-2 — 58.5 (2022-10-04) MOAT-3 22K+1K — 59.2 (2022-10-04) MOAT-2 — 58.5 (2022-10-04) MOAT-3 22K+1K — 59.2 (2022-10-04) MOAT-2 — 58.5 (2022-10-04) MOAT-3 22K+1K — 59.2 (2022-10-04)
RankModel box APGFlops PaperCodeYear
1 MOAT-3 22K+1K 59.2– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
2 MOAT-2 58.5– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
3 REGO-Deformable DETR-X101 –434 Recurrent Glimpse-based Decoder for Detection with Transformer zhechen/deformable-detr-rego 2021
4 MOAT-3 22K+1K 59.2– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
5 MOAT-2 58.5– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
6 REGO-Deformable DETR-X101 –434 Recurrent Glimpse-based Decoder for Detection with Transformer zhechen/deformable-detr-rego 2021
7 MOAT-3 22K+1K 59.2– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
8 MOAT-2 58.5– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
9 REGO-Deformable DETR-X101 –434 Recurrent Glimpse-based Decoder for Detection with Transformer zhechen/deformable-detr-rego 2021
10 MOAT-3 22K+1K 59.2– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
11 MOAT-2 58.5– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
12 REGO-Deformable DETR-X101 –434 Recurrent Glimpse-based Decoder for Detection with Transformer zhechen/deformable-detr-rego 2021
13 MOAT-3 22K+1K 59.2– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
14 MOAT-2 58.5– MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models google-research/deeplab2 · RooKichenn/pytorch-MOAT 2022
15 REGO-Deformable DETR-X101 –434 Recurrent Glimpse-based Decoder for Detection with Transformer zhechen/deformable-detr-rego 2021
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