BridgeQA

Reported on 6 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing6 results

Visual Question Answering (VQA)onScanQA Test w/ objects
BLEU-4· 2024-02-24
24.06
SOTA
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA arXiv:2402.15933
Visual Question Answering (VQA)onScanQA Test w/ objects
Exact Match· 2024-02-24
31.29
SOTA
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA arXiv:2402.15933
Visual Question Answering (VQA)onScanQA Test w/ objects
BLEU-1· 2024-02-24
34.49
best: 39.73 (NaviLLM)
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA arXiv:2402.15933
Visual Question Answering (VQA)onScanQA Test w/ objects
CIDEr· 2024-02-24
83.75
best: 103.1 (LLaVA-3D)
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA arXiv:2402.15933
Visual Question Answering (VQA)onScanQA Test w/ objects
METEOR· 2024-02-24
16.51
best: 20.8 (LLaVA-3D)
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA arXiv:2402.15933
Visual Question Answering (VQA)onScanQA Test w/ objects
ROUGE· 2024-02-24
43.26
best: 49.6 (LLaVA-3D)
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA arXiv:2402.15933