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 40414050 of 10420 papers

TitleStatusHype
Simulating Personal Food Consumption Patterns using a Modified Markov Chain0
Dropout is NOT All You Need to Prevent Gradient LeakageCode0
The Weighting Game: Evaluating Quality of Explainability MethodsCode0
BEiT v2: Masked Image Modeling with Vector-Quantized Visual TokenizersCode0
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator0
Contrastive Learning for OOD in Object detectionCode0
MixSKD: Self-Knowledge Distillation from Mixup for Image RecognitionCode1
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation0
Shifted Windows Transformers for Medical Image Quality Assessment0
WeightMom: Learning Sparse Networks using Iterative Momentum-based pruning0
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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
10RevCol-HTop 1 Accuracy90Unverified