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 4951–5000 of 10420 papers

TitleStatusHype
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise—0
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations—0
Image Classification for Snow Detection to Improve Pedestrian Safety—0
Dataset Distillation for Histopathology Image Classification—0
How to distribute data across tasks for meta-learning?—0
Image classification network enhancement methods based on knowledge injection—0
A Kolmogorov Complexity Approach to Generalization in Deep Learning—0
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification—0
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study—0
Is forgetting less a good inductive bias for forward transfer?—0
Image Classification on IoT Edge Devices: Profiling and Modeling—0
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation—0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
Image Classification using CNN for Traffic Signs in Pakistan—0
How to Adapt Your Large-Scale Vision-and-Language Model—0
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
How stable are Transferability Metrics evaluations?—0
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification—0
Image classification using quantum inference on the D-Wave 2X—0
Image Classification using Sequence of Pixels—0
Audio-Visual Speech Recognition is Worth 32328 Voxels—0
Image Classification via Quantum Machine Learning—0
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?—0
Image Classification with A Deep Network Model based on Compressive Sensing—0
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor—0
Image Classification with Consistent Supporting Evidence—0
CURL: Co-trained Unsupervised Representation Learning for Image Classification—0
Image Classification with Deep Reinforcement Active Learning—0
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix—0
Image Classification with Rejection using Contextual Information—0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?—0
How many classifiers do we need?—0
CUNI System for the WMT18 Multimodal Translation Task—0
Audio-to-Image Cross-Modal Generation—0
Invariant Scattering Transform for Medical Imaging—0
How good is my GAN?—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
CUNet: A Compact Unsupervised Network for Image Classification—0
Image Data Augmentation for Deep Learning: A Survey—0
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer—0
Invariant Learning via Diffusion Dreamed Distribution Shifts—0
ImageEye: Batch Image Processing Using Program Synthesis—0
A Tutorial on Explainable Image Classification for Dementia Stages Using Convolutional Neural Network and Gradient-weighted Class Activation Mapping—0
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance—0
Image Labeling on a Network: Using Social-Network Metadata for Image Classification—0
Image Matters: Scalable Detection of Offensive and Non-Compliant Content / Logo in Product Images—0
Image Moment Invariants to Rotational Motion Blur—0
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena—0
Invariance vs Robustness of 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