Staying current with research in Computer Vision - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import a popular library for accessing research papers.

Computer Vision

import [1]

Drag options to blanks, or click blank then click option'

Amatplotlib

Btensorflow

Cnumpy

Darxiv

Attempts:

3 left

💡 Hint

Common Mistakes

Importing general ML libraries like tensorflow instead of a research paper library.

Using visualization libraries which don't help access papers.

The 'arxiv' library helps access research papers programmatically, which is useful to stay current with research.

2fill in blank

medium

Complete the code to search for recent papers on 'computer vision' using the arxiv API.

Computer Vision

search = arxiv.Search(query='computer vision', max_results=[1])

Drag options to blanks, or click blank then click option'

A500

B5

C50

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using 0 which returns no results.

Using 500 which may be too large and slow.

Setting max_results to 50 retrieves a reasonable number of recent papers to review.

3fill in blank

hard

Fix the error in the code to print the titles of the papers found.

Computer Vision

for result in search.[1]():
    print(result.title)

Drag options to blanks, or click blank then click option'

Aget_results()

Bget_results

Cresults

Dresults()

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'get_results' instead of 'results'.

Using options with extra parentheses like 'results()' or 'get_results()'.

The arxiv Search object uses the method results() to return an iterable of results.

4fill in blank

hard

Fill both blanks to filter papers published after 2022 and sort them by relevance.

Computer Vision

search = arxiv.Search(query='computer vision', max_results=100, sort_by=[1], sort_order=[2], 
    date_from='2023-01-01')

Drag options to blanks, or click blank then click option'

Aarxiv.SortCriterion.Relevance

Barxiv.SortCriterion.SubmittedDate

Carxiv.SortOrder.Ascending

Darxiv.SortOrder.Descending

Attempts:

3 left

💡 Hint

Common Mistakes

Sorting by date instead of relevance.

Using ascending order which shows least relevant first.

Sorting by relevance descending shows the most relevant recent papers first.

5fill in blank

hard

Fill all three blanks to create a dictionary of paper titles and their authors for papers with more than 2 authors.

Computer Vision

papers = {result.[1]: result.[2] for result in search.results() if len(result.[3]) > 2}

Drag options to blanks, or click blank then click option'

Atitle

Bauthors

Dsummary

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'summary' instead of 'authors' for filtering.

Mixing up keys and values in the dictionary comprehension.

We use 'title' as key, 'authors' as value, and check length of 'authors' list to filter papers.

Practice

1. Why is it important to stay current with research in computer vision?

easy

A. To avoid using any existing techniques

B. To memorize all past research papers

C. To learn about new methods and improve your skills

D. To only focus on old, proven methods

Solution

1. Step 1: Understand the goal of staying current

   Staying current helps you learn new methods and keep your skills updated.

2. Step 2: Compare options

   Options A, C, and D do not help improve skills or knowledge effectively.

3. Final Answer:

   To learn about new methods and improve your skills -> Option C

4. Quick Check:

   Staying current = Learn new methods [OK]

Hint: Focus on learning new methods to improve skills [OK]

Common Mistakes:

• Thinking memorizing old papers is enough
• Believing only old methods matter
• Ignoring new research updates

2. Which of the following is a correct way to find new computer vision research papers?

easy

A. Wait for research to be included in old courses

B. Only read textbooks published 10 years ago

C. Avoid newsletters and social media updates

D. Check websites like arXiv and attend conferences

Solution

1. Step 1: Identify reliable sources for new research

   Websites like arXiv and conferences share the latest papers and ideas.

2. Step 2: Eliminate outdated or passive options

   Options B, C, and D do not provide timely or active updates on new research.

3. Final Answer:

   Check websites like arXiv and attend conferences -> Option D

4. Quick Check:

   New research sources = arXiv + conferences [OK]

Hint: Use active sources like arXiv and conferences [OK]

Common Mistakes:

• Relying only on old textbooks
• Ignoring newsletters and social media
• Waiting passively for updates

3. Consider this Python snippet to fetch recent papers from arXiv API:

import requests
response = requests.get('http://export.arxiv.org/api/query?search_query=cat:cs.CV&max_results=2')
print(response.status_code)

What will this code output if the request is successful?

medium

A. 200

B. 404

C. 500

D. 403

Solution

1. Step 1: Understand HTTP status codes

   Code 200 means the request was successful and data was returned.

2. Step 2: Check the code's print statement

   The code prints response.status_code, which will be 200 if successful.

3. Final Answer:

   200 -> Option A

4. Quick Check:

   HTTP success = 200 [OK]

Hint: HTTP 200 means success; check status_code [OK]

Common Mistakes:

• Confusing 404 (not found) with success
• Assuming 500 means success
• Ignoring status code meaning

4. You wrote code to download new papers from a research site but get an error: requests.exceptions.ConnectionError. What is a likely fix?

medium

A. Ignore the error and continue

B. Check your internet connection and retry

C. Change the code to print a variable

D. Delete the Python interpreter

Solution

1. Step 1: Identify the error cause

   ConnectionError usually means no internet or server unreachable.

2. Step 2: Apply the fix

   Checking internet and retrying is the correct approach to fix connection issues.

3. Final Answer:

   Check your internet connection and retry -> Option B

4. Quick Check:

   ConnectionError fix = check internet [OK]

Hint: Connection errors mean check internet first [OK]

Common Mistakes:

• Ignoring the error
• Changing unrelated code
• Deleting Python environment

5. You want to apply a new computer vision paper's method but find the code uses a complex model architecture. What is the best way to stay current and apply it effectively?

hard

A. Read the paper, try simple examples, and discuss with peers

B. Ignore the paper because it is too complex

C. Copy the code without understanding it

D. Wait for someone else to implement it

Solution

1. Step 1: Understand the new method

   Reading the paper and trying simple examples helps grasp the method step-by-step.

2. Step 2: Collaborate and discuss

   Discussing with peers helps clarify doubts and learn better.

3. Final Answer:

   Read the paper, try simple examples, and discuss with peers -> Option A

4. Quick Check:

   Apply new methods = read + try + discuss [OK]

Hint: Learn by reading, practicing, and discussing [OK]

Common Mistakes:

• Ignoring complex papers
• Blindly copying code
• Waiting passively for others