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 99019925 of 10420 papers

TitleStatusHype
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification0
An Automated CNN Recommendation System for Image Classification Tasks0
Wide-Slice Residual Networks for Food RecognitionCode0
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomicsCode0
Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network0
Coupling Adaptive Batch Sizes with Learning RatesCode0
The More You Know: Using Knowledge Graphs for Image Classification0
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel ClassificationCode0
Co-localization with Category-Consistent Features and Geodesic Distance Propagation0
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis0
Spatially Adaptive Computation Time for Residual NetworksCode0
Revisiting Winner Take All (WTA) Hashing for Sparse Datasets0
Multi-Label Image Classification with Regional Latent Semantic Dependencies0
Food Image Recognition by Using Convolutional Neural Networks (CNNs)Code0
Object-Centric Representation Learning from Unlabeled Videos0
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses0
Monge's Optimal Transport Distance for Image Classification0
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image ClassificationCode0
Hippocampus Temporal Lobe Epilepsy Detection using a Combination of Shape-based Features and Spherical Harmonics Representation0
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model0
Gaze Embeddings for Zero-Shot Image Classification0
Learning Deep Representations Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
DeepSetNet: Predicting Sets with Deep Neural Networks0
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning0
Distributed Optimization of Multi-Class SVMsCode0
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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