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 38013810 of 10420 papers

TitleStatusHype
Dataset Condensation Driven Machine UnlearningCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
CoA: Chain-of-Action for Generative Semantic LabelsCode0
Data Representations' Study of Latent Image ManifoldsCode0
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language ModelsCode0
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural NetworksCode0
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identificationCode0
Data Parameters: A New Family of Parameters for Learning a Differentiable CurriculumCode0
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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