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 10411050 of 10420 papers

TitleStatusHype
Saliency-Regularized Deep Multi-Task LearningCode1
Can Language Understand Depth?Code1
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image ClassificationCode1
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution ShiftCode1
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean LabelCode1
Learning Iterative Reasoning through Energy MinimizationCode1
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image ClassificationCode1
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?Code1
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image ClassificationCode1
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid NetworkCode1
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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