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 16711680 of 10420 papers

TitleStatusHype
Enhance Image Classification via Inter-Class Image Mixup with Diffusion ModelCode1
RSMamba: Remote Sensing Image Classification with State Space ModelCode3
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning0
Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsCode7
Multi-scale Unified Network for Image Classification0
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer VisionCode0
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks0
Targeted Visualization of the Backbone of Encoder LLMsCode1
PlainMamba: Improving Non-Hierarchical Mamba in Visual RecognitionCode3
The Need for Speed: Pruning Transformers with One RecipeCode1
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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