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 17811790 of 10420 papers

TitleStatusHype
Frequency Attention for Knowledge DistillationCode1
Feature CAM: Interpretable AI in Image Classification0
Multiple Instance Learning with random sampling for Whole Slide Image Classification0
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets0
Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation0
Defending Against Unforeseen Failure Modes with Latent Adversarial TrainingCode1
ComFe: Interpretable Image Classifiers With Foundation Models, Transformers and Component FeaturesCode0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks0
MedMamba: Vision Mamba for Medical Image ClassificationCode4
On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained EncoderCode0
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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