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Found 5 papers, 1 papers with code
Image Recognition Using Scale Recurrent Neural Networks
This paper proposes a different paradigm of image recognition, which can take advantages of variable scales of the input images, has more computational scalabilities, and is more similar to image recognition by human visual system.
clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions
We suggest that these models can be considered as special cases of a generalized convolution operation, named channel local convolution(CLC), where an output channel is computed using a subset of the input channels.
Context-Aware Single-Shot Detector
SSD is one of the state-of-the-art object detection algorithms, and it combines high detection accuracy with real-time speed.
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting
We develop a unified framework for complex event retrieval, recognition and recounting.
Neural Aggregation Network for Video Face Recognition
The network takes a face video or face image set of a person with a variable number of face images as its input, and produces a compact, fixed-dimension feature representation for recognition.
Ranked #7 on
Face Verification
on IJB-A
