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Object Recognition

108 papers with code · Computer Vision

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

State-of-the-art leaderboards

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Greatest papers with code

Going Deeper with Convolutions

CVPR 2015 tensorflow/models

We propose a deep convolutional neural network architecture codenamed "Inception", which was responsible for setting the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC 2014).

IMAGE CLASSIFICATION OBJECT DETECTION OBJECT RECOGNITION

Densely Connected Convolutional Networks

CVPR 2017 liuzhuang13/DenseNet

Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output.

IMAGE CLASSIFICATION OBJECT RECOGNITION

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

6 Oct 2013jetpacapp/DeepBeliefSDK

We evaluate whether features extracted from the activation of a deep convolutional network trained in a fully supervised fashion on a large, fixed set of object recognition tasks can be re-purposed to novel generic tasks.

DOMAIN ADAPTATION OBJECT RECOGNITION SCENE RECOGNITION TRANSFER LEARNING

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

21 Dec 2013soumith/convnet-benchmarks

This integrated framework is the winner of the localization task of the ImageNet Large Scale Visual Recognition Challenge 2013 (ILSVRC2013) and obtained very competitive results for the detection and classifications tasks.

OBJECT DETECTION OBJECT RECOGNITION

Some Improvements on Deep Convolutional Neural Network Based Image Classification

19 Dec 2013facebook/fb.resnet.torch

We investigate multiple techniques to improve upon the current state of the art deep convolutional neural network based image classification pipeline.

IMAGE CLASSIFICATION OBJECT RECOGNITION

Texture Synthesis Using Convolutional Neural Networks

NeurIPS 2015 DmitryUlyanov/texture_nets

Here we introduce a new model of natural textures based on the feature spaces of convolutional neural networks optimised for object recognition.

OBJECT RECOGNITION TEXTURE SYNTHESIS

Finding Tiny Faces

CVPR 2017 peiyunh/tiny

We explore three aspects of the problem in the context of finding small faces: the role of scale invariance, image resolution, and contextual reasoning.

FACE DETECTION OBJECT RECOGNITION

Relation Networks for Object Detection

CVPR 2018 msracver/Relation-Networks-for-Object-Detection

Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era.

OBJECT DETECTION OBJECT RECOGNITION

Sparse 3D convolutional neural networks

12 May 2015facebookresearch/SparseConvNet

We have implemented a convolutional neural network designed for processing sparse three-dimensional input data.

3D OBJECT RECOGNITION ACTION RECOGNITION