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 26212630 of 10420 papers

TitleStatusHype
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification0
Knowledge Swapping via Learning and UnlearningCode0
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics0
Keep your distance: learning dispersed embeddings on S_m0
Riemannian Complex Hermit Positive Definite Convolution Network for Polarimetric SAR Image Classification0
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset0
MoENAS: Mixture-of-Expert based Neural Architecture Search for jointly Accurate, Fair, and Robust Edge Deep Neural Networks0
Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers0
From Image to Video: An Empirical Study of Diffusion Representations0
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified