paper-with-me

Visual Question Answering (VQA) 벤치마크

Visual Question Answering (VQA) on CLEVR

15개 결과 · ⬇ CSV · JSON

Accuracy

65.9 74.38 82.85 91.33 99.8 2017-05 2026-09 IEP-700K — 96.9 (2017-05-10) CNN + LSTM + RN — 95.5 (2017-06-05) CNN+GRU+FiLM — 97.7 (2017-09-22) MAC — 98.9 (2018-03-08) TbD + reg + hres — 99.1 (2018-03-14) DDRprog* — 98.3 (2018-03-30) CNN + LSTM + RN + HAN — 98.8 (2018-08-01) QGHC+Att+Concat — 65.9 (2018-08-08) NS-VQA (1K programs) — 99.8 (2018-10-04) XNM-Det supervised — 97.7 (2018-12-05) NS-CL — 98.9 (2019-04-26) single-hop + LCGN (ours) — 97.9 (2019-05-10) OCCAM (ours) — 99.4 (2020-11-23) MDETR — 99.7 (2021-04-26) NeSyCoCo — 99.7 (2024-12-20) IEP-700K — 96.9 (2017-05-10) CNN+GRU+FiLM — 97.7 (2017-09-22) MAC — 98.9 (2018-03-08) TbD + reg + hres — 99.1 (2018-03-14) NS-VQA (1K programs) — 99.8 (2018-10-04)
RankModel Accuracy PaperCodeYear
1 NS-VQA (1K programs) 99.8 Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding kexinyi/ns-vqa · nerdimite/neuro-symbolic-ai-soc 2018
2 MDETR 99.7 MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding facebookresearch/multimodal · ashkamath/mdetr · thunlp/pevl · +2 2021
2 NeSyCoCo 99.7 NeSyCoCo: A Neuro-Symbolic Concept Composer for Compositional Generalization hlr/nesycoco 2024
4 OCCAM (ours) 99.4 Interpretable Visual Reasoning via Induced Symbolic Space SHI-Labs/Interpretable-Visual-Reasoning 2020
5 TbD + reg + hres 99.1 Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning davidmascharka/tbd-nets 2018
6 NS-CL 98.9 The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision vacancy/NSCL-PyTorch-Release · nerdimite/neuro-symbolic-ai-soc 2019
6 MAC 98.9 Compositional Attention Networks for Machine Reasoning stanfordnlp/mac-network · rosinality/mac-network-pytorch · Glaciohound/VCML · +7 2018
8 CNN + LSTM + RN + HAN 98.8 Learning Visual Question Answering by Bootstrapping Hard Attention lienchibao1998/new 2018
9 DDRprog* 98.3 DDRprog: A CLEVR Differentiable Dynamic Reasoning Programmer 2018
10 single-hop + LCGN (ours) 97.9 Language-Conditioned Graph Networks for Relational Reasoning ronghanghu/lcgn 2019
11 CNN+GRU+FiLM 97.7 FiLM: Visual Reasoning with a General Conditioning Layer kdaip/stabletts · ethanjperez/film · caffeinism/film-pytorch · +4 2017
11 XNM-Det supervised 97.7 Explainable and Explicit Visual Reasoning over Scene Graphs shijx12/XNM-Net · shijx12/shijx12.github.io 2018
13 IEP-700K 96.9 Inferring and Executing Programs for Visual Reasoning facebookresearch/clevr-iep · ethanjperez/film · AlexKuhnle/film · +2 2017
14 CNN + LSTM + RN 95.50 A simple neural network module for relational reasoning kimhc6028/relational-networks · clvrai/relation-network-tensorflow · gitlimlab/Relation-Network-Tensorflow · +17 2017
15 QGHC+Att+Concat 65.90 Question-Guided Hybrid Convolution for Visual Question Answering 2018
1–15 / 15 페이지당 10 20 50 100