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 37513775 of 10420 papers

TitleStatusHype
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network EnsembleCode0
Expanding-and-Shrinking Binary Neural NetworksCode0
AutoGAN: Neural Architecture Search for Generative Adversarial NetworksCode0
DCFNet: Deep Neural Network with Decomposed Convolutional FiltersCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
Expeditious Saliency-guided Mix-up through Random Gradient ThresholdingCode0
Saccader: Improving Accuracy of Hard Attention Models for VisionCode0
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
Distilling Effective Supervision from Severe Label NoiseCode0
DBIA: Data-free Backdoor Injection Attack against Transformer NetworksCode0
Robust Stable Spiking Neural NetworksCode0
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small DatasetCode0
Explainability of Deep Neural Networks for Brain Tumor DetectionCode0
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural NetworksCode0
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image DatasetCode0
Identifying Bias in Deep Neural Networks Using Image TransformsCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
C-Net: A Reliable Convolutional Neural Network for Biomedical Image ClassificationCode0
Rotation equivariant vector field networksCode0
Adaptive Activation Functions for Predictive Modeling with Sparse Experimental DataCode0
Identifying Adversarially Attackable and Robust SamplesCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Image Classification Using Singular Value Decomposition and OptimizationCode0
Dataset Distillation with Infinitely Wide Convolutional NetworksCode0
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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