Deep Visual Recognition: Interpretability

Description

This lecture by the instructor focuses on deep visual recognition and interpretability. It covers the deep learning revolution, semantic segmentation, and deformable 3D reconstruction. The lecture explores the use of Bag of Words and Bag of Visual Words models, standard CNN architectures, and the creation of visual dictionaries. It delves into experiments with datasets, visual codewords, and adversarial attack detection. The instructor also discusses dealing with complex scenes, proposing solutions for encoding local features and generating attention maps. The lecture concludes with insights on scene recognition, attention-aware pooling, and the importance of interpretability in deep networks.

Official source

https://mediaspace.epfl.ch/media/0_9fneagxl

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Translation

Translation is the communication of the meaning of a source-language text by means of an equivalent target-language text. The English language draws a terminological distinction (which does not exist in every language) between translating (a written text) and interpreting (oral or signed communication between users of different languages); under this distinction, translation can begin only after the appearance of writing within a language community.

Dictionary

A dictionary is a listing of lexemes from the lexicon of one or more specific languages, often arranged alphabetically (or by consonantal root for Semitic languages or radical and stroke for logographic languages), which may include information on definitions, usage, etymologies, pronunciations, translation, etc. It is a lexicographical reference that shows inter-relationships among the data. A broad distinction is made between general and specialized dictionaries.