Unverified50% confidenceBenchmarkExact time
The CAPI-DINO ViT-B/14 model achieved a linear probing accuracy of 68.7% on the iNat21 dataset.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/9/2026
First Seen
Valid until: 12/8/2026
Sources
Related Entities
Related Claims
Unverified该量化模型相较于BF16全精度版本保留了约77%的准确率73% similarUnverified在同一细粒度汽车分类任务中,CLIP ViT-L的k-NN准确率约为59%65% similarUnverifiedPathway reported that a BDH-based system achieved a 97.4% Top-1 accuracy rate on approximately 250,000 Sudoku Extreme puzzles without using CoT or solution backtracking.65% similarUnverified在细粒度汽车分类的k-NN实验中,SigLIP2 SO400M达到约92%准确率,CLIP ViT-L约59%,DINOv2 Giant约41%64% similarUnverifiedThe fine-tuned Qwen3.5-4B model improved accuracy on BU Bench V1 from 15% to 53%.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/884098API
curl https://kongchang.com/api/v1/knowledge/claims/884098MCP
get_claim(id=884098)