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

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Showing 6401–6450 of 10420 papers

TitleStatusHype
Multiple VLAD encoding of CNNs for image classification—0
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification—0
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification—0
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification—0
m-mix: Generating hard negatives via multiple samples mixing for contrastive learning—0
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
MMViT: Multiscale Multiview Vision Transformers—0
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth—0
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design—0
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning—0
Convolutional Neural Networks from Image Markers—0
Multiplicative Learning—0
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification—0
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification—0
MUSE: Feature Self-Distillation with Mutual Information and Self-Information—0
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images—0
Convolutional Neural Networks for Multispectral Image Cloud Masking—0
Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification—0
MoBiNet: A Mobile Binary Network for Image Classification—0
GeoTop: Advancing Image Classification with Geometric-Topological Analysis—0
Active Learning Solution on Distributed Edge Computing—0
MoCo-Pretraining Improves Representations and Transferability of Chest X-ray Models—0
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks—0
MoDE: CLIP Data Experts via Clustering—0
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron—0
GeoNet: Benchmarking Unsupervised Adaptation across Geographies—0
Multiple Convolutional Neural Network for Skin Dermoscopic Image Classification—0
Model-Agnostic Feature Selection with Additional Mutual Information—0
Model-Agnostic Learning to Meta-Learn—0
Geometry aware convolutional filters for omnidirectional images representation—0
Convolutional neural networks compression with low rank and sparse tensor decompositions—0
Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective—0
Model-Agnostic Zeroth-Order Policy Optimization for Meta-Learning of Ergodic Linear Quadratic Regulators—0
Model-based feature selection for neural networks: A mixed-integer programming approach—0
Model Compression Using Optimal Transport—0
A Compact Representation of Histopathology Images using Digital Stain Separation & Frequency-Based Encoded Local Projections—0
Model Compression with Generative Adversarial Networks—0
Multiple EffNet/ResNet Architectures for Melanoma Classification—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
Model-free Optical Processors using In Situ Reinforcement Learning with Proximal Policy Optimization—0
Geometric Scattering for Graph Data Analysis—0
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use—0
Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects—0
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features—0
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons—0
Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection—0
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup—0
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering—0
Asymmetric Duos: Sidekicks Improve Uncertainty—0
Geometric Median Matching for Robust k-Subset Selection from Noisy Data—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