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 25512575 of 10420 papers

TitleStatusHype
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited LearningCode0
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image ClassificationCode0
Class2Str: End to End Latent Hierarchy LearningCode0
Inception-inspired LSTM for Next-frame Video PredictionCode0
CLAD: A Contrastive Learning based Approach for Background DebiasingCode0
CKD: Contrastive Knowledge Distillation from A Sample-wise PerspectiveCode0
Improvising the Learning of Neural Networks on Hyperspherical ManifoldCode0
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine LearningCode0
CINIC-10 is not ImageNet or CIFAR-10Code0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual IllusionCode0
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image ClassificationCode0
CIFAR-10 Image Classification Using Feature EnsemblesCode0
Improving the trustworthiness of image classification models by utilizing bounding-box annotationsCode0
Improving Transferability of Adversarial Examples with Input DiversityCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
A Comprehensive Overhaul of Feature DistillationCode0
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)Code0
ChronoNet: A Deep Recurrent Neural Network for Abnormal EEG IdentificationCode0
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human ExpertsCode0
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural NetworksCode0
Adversarial Attacks on Data AttributionCode0
Improving the Gating Mechanism of Recurrent Neural NetworksCode0
CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural NetworksCode0
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase SamplingCode0
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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