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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3101–3150 of 10419 papers

TitleStatusHype
Discriminative and Geometry Aware Unsupervised Domain Adaptation—0
An Empirical Investigation into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification—0
Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification—0
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism—0
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification—0
Distilling Knowledge into Quantum Vision Transformers for Biomedical Image Classification—0
Explainable Image Classification with Evidence Counterfactual—0
Self-Attention Capsule Networks for Object Classification—0
Explainable Knowledge Distillation for On-device Chest X-Ray Classification—0
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property—0
Discriminability-enforcing loss to improve representation learning—0
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering—0
Discrete Wavelet Transform-Based Capsule Network for Hyperspectral Image Classification—0
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform—0
Boosting Convolutional Features for Robust Object Proposals—0
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters—0
An Embedding-Dynamic Approach to Self-supervised Learning—0
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization—0
Addressing out-of-distribution label noise in webly-labelled data—0
Distributed stochastic optimization for deep learning (thesis)—0
Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP Setting—0
Distributed Transfer Learning with 4th Gen Intel Xeon Processors—0
Distribution Adaptive INT8 Quantization for Training CNNs—0
Task-Robust Model-Agnostic Meta-Learning—0
Discovering Parametric Activation Functions—0
Distributional loss for convolutional neural network regression and application to GNSS multi-path estimation—0
Discovering Influential Neuron Path in Vision Transformers—0
Robust Multi-instance Learning with Stable Instances—0
Addressing Imbalance for Class Incremental Learning in Medical Image Classification—0
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations—0
Distribution-Aware Adaptive Multi-Bit Quantization—0
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification—0
Distribution-sensitive Information Retention for Accurate Binary Neural Network—0
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training—0
Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models—0
Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification—0
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification—0
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning—0
Generating Hard Examples for Pixel-wise Classification—0
Divergent Search for Few-Shot Image Classification—0
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks—0
Diverse Feature Learning by Self-distillation and Reset—0
Bombus Species Image Classification—0
DISCO: Distributed Inference with Sparse Communications—0
Block-wise Scrambled Image Recognition Using Adaptation Network—0
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency—0
Diversifying Sample Generation for Accurate Data-Free Quantization—0
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models—0
Diversity Matters When Learning From Ensembles—0
Block-term Tensor Neural Networks—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified