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 471480 of 10419 papers

TitleStatusHype
Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination0
Impact of Batch Normalization on Convolutional Network Representations0
Geometric Mean Improves Loss For Few-Shot Learning0
Attribute-based Visual Reprogramming for Image Classification with CLIPCode0
Making Reliable and Flexible Decisions in Long-tailed ClassificationCode0
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters0
SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural NetworksCode0
Multi-aspect Knowledge Distillation with Large Language ModelCode0
Regularizing cross entropy loss via minimum entropy and K-L divergenceCode0
AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning0
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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