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 19611970 of 10420 papers

TitleStatusHype
Image edge enhancement for effective image classification0
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability0
Interpreting and Improving Attention From the Perspective of Large Kernel Convolution0
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision ApplicationsCode4
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification0
Evaluating Data Augmentation Techniques for Coffee Leaf Disease Classification0
Learn From Zoom: Decoupled Supervised Contrastive Learning For WCE Image ClassificationCode2
Scissorhands: Scrub Data Influence via Connection Sensitivity in NetworksCode0
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning0
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentCode0
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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