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 381390 of 10419 papers

TitleStatusHype
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
A Comprehensive Empirical Evaluation on Online Continual LearningCode1
Class-Balanced Loss Based on Effective Number of SamplesCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
A Comprehensive Approach to Unsupervised Embedding Learning based on AND AlgorithmCode1
Class-Aware Contrastive Semi-Supervised LearningCode1
Class-Aware Patch Embedding Adaptation for Few-Shot Image ClassificationCode1
Circumventing Outliers of AutoAugment with Knowledge DistillationCode1
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language ModelCode1
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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