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Deep Learning Face Attributes in the Wild
TLDR
A novel deep learning framework for attribute prediction in the wild that cascades two CNNs, LNet and ANet, which are fine-tuned jointly with attribute tags, but pre-trained differently. Expand
DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
TLDR
This work introduces DeepFashion1, a large-scale clothes dataset with comprehensive annotations, and proposes a new deep model, namely FashionNet, which learns clothing features by jointly predicting clothing attributes and landmarks. Expand
WIDER FACE: A Face Detection Benchmark
TLDR
There is a gap between current face detection performance and the real world requirements, and the WIDER FACE dataset, which is 10 times larger than existing datasets is introduced, which contains rich annotations, including occlusions, poses, event categories, and face bounding boxes. Expand
Facial Landmark Detection by Deep Multi-task Learning
TLDR
A novel tasks-constrained deep model is formulated, with task-wise early stopping to facilitate learning convergence and reduces model complexity drastically compared to the state-of-the-art method based on cascaded deep model. Expand
A large-scale car dataset for fine-grained categorization and verification
TLDR
This paper presents an on-going effort in collecting a large-scale dataset, “CompCars”, that covers not only different car views, but also their different internal and external parts, and rich attributes, and demonstrates a few important applications exploiting the dataset. Expand
Pedestrian Attribute Recognition At Far Distance
TLDR
A new pedestrian attribute dataset is released, which is by far the largest and most diverse of its kind and it is shown that the large-scale dataset facilitates the learning of robust attribute detectors with good generalization performance. Expand
Spatial As Deep: Spatial CNN for Traffic Scene Understanding
TLDR
This paper proposes Spatial CNN (SCNN), which generalizes traditional deep layer-by-layer convolutions to slice-byslice convolutions within feature maps, thus enabling message passings between pixels across rows and columns in a layer. Expand
From Facial Parts Responses to Face Detection: A Deep Learning Approach
TLDR
A novel deep convolutional network (DCN) that achieves outstanding performance on FDDB, PASCAL Face, and AFW, and it is shown that despite the use of DCN, the network can achieve practical runtime speed. Expand
Learning Deep Representation for Face Alignment with Auxiliary Attributes
TLDR
A novel tasks-constrained deep model is formulated, which not only learns the inter-task correlation but also employs dynamic task coefficients to facilitate the optimization convergence when learning multiple complex tasks. Expand
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
TLDR
This work proposes a novel framework termed MaskGAN, enabling diverse and interactive face manipulation, and finds that semantic masks serve as a suitable intermediate representation for flexible face manipulation with fidelity preservation. Expand
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