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 26712680 of 10420 papers

TitleStatusHype
Feasible LearningCode0
Impact of Batch Normalization on Convolutional Network Representations0
SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility0
TLXML: Task-Level Explanation of Meta-Learning via Influence Functions0
Geometric Mean Improves Loss For Few-Shot Learning0
Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST0
Correlation-Based Band Selection for Hyperspectral Image ClassificationCode0
Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination0
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters0
Making Reliable and Flexible Decisions in Long-tailed ClassificationCode0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified