SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 681690 of 10420 papers

TitleStatusHype
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image ClassificationCode1
GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation ModelsCode1
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?Code1
Tuning Pre-trained Model via Moment ProbingCode1
CLR: Channel-wise Lightweight Reprogramming for Continual LearningCode1
GIST: Generating Image-Specific Text for Fine-grained Object ClassificationCode1
FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model InterpolationCode1
What do neural networks learn in image classification? A frequency shortcut perspectiveCode1
Interpreting and Correcting Medical Image Classification with PIP-NetCode1
Semantic-Aware Dual Contrastive Learning for Multi-label Image ClassificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified